1. A non-transitory computer program product tangibly embodied in computer-readable medium, the computer program product including instructions that, when executed, cause one or more processors to perform operations comprising:
receiving an indication of a business function provided by a computer application to be configured for use in a particular business enterprise wherein the computer application includes instructions that, when executed, cause business transaction data to be processed in a manner that is applicable to many different business enterprises;
in response to receiving the indication of the business function, identifying a mass data run object that relates to the particular business enterprise, wherein:
the mass data run object defines a computer operation to be performed by the computer application to transform business transaction data as part of a business process, and
the mass data run object identifies i) selection parameters to select business transaction data to be transformed by the computer operation defined by the mass data run object and ii) instructions, that when executed, perform the computer operation to transform the selected business transaction data;
in response to identifying the mass data run object, generating a mass data run object instance corresponding to the identified mass data run object, wherein selection parameters identified by the mass data run object identify the business transaction data to be transformed by a computer operation defined by the mass data run object instance; and
in response to generating the mass data run object instance, scheduling for execution at a later time period the instructions identified by the mass data run object to perform the computer operation on business transaction data selected as defined by the selection parameters of the mass data run object instance,
wherein the identifying the mass data run object, the generating the mass data run object instance, and the scheduling for execution at a later time period are performed without human intervention in response to the received indication of the computer application.
2. The computer program product of claim 1 wherein without human intervention comprises without receiving user input.
3. The computer program product of claim 1 wherein the mass data run object comprises a type of mass data run object.
4. The computer program product of claim 1 wherein the mass data run object instance comprises a first instance of a mass data run object, the mass data run object comprises a second instance of the mass data run object, and the first instance is different than the second instance of the mass data run object.
5. The computer program product of claim 1 wherein the business transaction data comprises the business transaction data to be transformed by the computer operation defined by the mass data run object instance in a single run of the computer operation by the mass data run object instance.
6. The computer program product of claim 1 wherein the identifying the mass data run object, the generating the mass data run object instance, and the scheduling for execution at a later time period are performed without human intervention in response to the received indication of the business function occur during deployment of the computer application before the computer application is used to process business transaction data at the particular business enterprise.
7. The computer program product of claim 1 wherein identifying a mass data run object comprises identifying a mass data run object type.
8. The computer program product of claim 1 wherein the computer application comprises one of a customer relationship management application, an enterprise resource planning application, a supply chain management application, a supplier relationship management application, and a human resource management application.
9. The computer program product of claim 1 wherein the scheduling for execution comprises scheduling for execution by creating an entry that identifies the mass data run object instance.
10. The computer program product of claim 1 wherein the selection parameters of the mass data run object instance identify the employees employed by the particular business enterprise.
11. The computer program product of claim 1 wherein the selection parameters of the mass data run object instance identify the organizational units of the particular business enterprise.
12. The computer program product of claim 1 wherein the selection parameters of the mass data run object instance identify the products offered for sale by the particular business enterprise.
13. A computer system having one or more processors and including instructions that, when executed, cause at least one of the one or more processors to perform operations comprising:
receiving an indication of a business function provided by a computer application to be configured for use in a particular business enterprise wherein the computer application includes instructions that, when executed, cause business transaction data to be processed in a manner that is applicable to many different business enterprises;
in response to receiving the indication of the business function, identifying a mass data run object that relates to the particular business enterprise, wherein:
the mass data run object defines a computer operation to be performed by the computer application to transform business transaction data as part of a business process, and
the mass data run object identifies i) selection parameters to select business transaction data to be transformed by the computer operation defined by the mass data run object and ii) instructions, that when executed, perform the computer operation to transform the selected business transaction data;
in response to identifying the mass data run object, generating a mass data run object instance corresponding to the identified mass data run object, wherein selection parameters identified by the mass data run object identify the business transaction data to be transformed by a computer operation defined by the mass data run object instance; and
in response to generating the mass data run object instance, scheduling for execution at a later time period the instructions identified by the mass data run object to perform the computer operation on business transaction data selected as defined by the selection parameters of the mass data run object instance,
wherein the identifying the mass data run object, the generating the mass data run object instance, and the scheduling for execution at a later time period are performed without human intervention in response to the received indication of the computer application.
14. The computer system of claim 13 wherein without human intervention comprises without receiving user input.
15. The computer system of claim 13 wherein the mass data run object comprises a type of mass data run object.
16. The computer system of claim 13 wherein the mass data run object instance comprises a first instance of a mass data run object, the mass data run object comprises a second instance of the mass data run object, and the first instance is different than the second instance of the mass data run object.
17. The computer system of claim 13 wherein the business transaction data comprises the business transaction data to be transformed by the computer operation defined by the mass data run object instance in a single run of the computer operation by the mass data run object instance.
18. The computer system of claim 13 wherein the identifying the mass data run object, the generating the mass data run object instance, and the scheduling for execution at a later time period are performed without human intervention in response to the received indication of the business function occur during deployment of the computer application before the computer application is used to process business transaction data at the particular business enterprise.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A low-noise filter for receiving a downconverted signal, comprising:
a signal path extending from an input line to an output line;
a load capacitor in the signal path;
a frequency dependent negative resistance (FDNR) device coupled to the signal path and cooperating with the load capacitor to define poles in a filter transfer function;
a bias resistor coupled to the output of the load capacitor;
a bias voltage source coupled to the bias resistor; and
wherein the bias resistor and the bias voltage are used in setting a high cutoff frequency so that the load capacitor acts to block or cancel a DC offset in the downconverted signal.
2. The low noise filter according to claim 1 wherein the FDNR device is constructed in the form of a Generalized Impedance Component (GIC).
3. The low noise filter according to claim 2 wherein the GIC contributes a pole-pair to the low noise filter’s transfer function.
4. The low noise filter according to claim 2 further including a resistor between the GIC and the signal path that contributes a zero to the low noise filter’s transfer function.
5. The low noise filter according to claim 1 further including a second FDNR device coupled to the signal path.
6. The low noise filter according to claim 5 further including an isolation device between the FDNR and the second FDNR.
7. The low noise filter according to claim 1, further including:
a second bias resistor;
a switch connected to one of the bias resistors; and
a control line connected to the switch so that the switched bias resistor is selectively coupled to the load capacitor.
8. A low IF receiver portion having at least one low-noise filter, comprising:
an input line for receiving an RF signal;
a down converter connected to the input line and having a low frequency output line, the down converter coupled to a local oscillator and arranged to generate a low frequency signal on the low frequency output line;
a low-noise filter coupled to the low frequency line, the low noise filter further including a capacitor arrangement and an FDNR device, wherein inclusion of the capacitor arrangement defines poles in a filter transfer function;
a bias resistor cooperating with the capacitor arrangement to form a DC blocking structure; and
an output signal line extending from the low noise filter to a demodulator module.
9. The low IF receiver portion according to claim 8 wherein the down converter is arranged to generate a zero IF signal.
10. The low IF receiver portion according to claim 8 further including:
a filter stage contributing to a transfer function for the low noise filter; and
wherein the capacitor arrangement is shared by the DC blocking structure and the filter stage.
11. An integrated circuit chip having active and passive components cooperating on a semiconductor substrate to perform a low noise filtering function, comprising:
an input line for receiving a signal; a capacitor block coupled to the input line and positioned on the integrated circuit chip;
an FDNR device cooperating with the capacitor block to add poles to a transfer function for the low noise filter; and
a bias structure cooperating with the capacitor block to block or cancel DC offset in the signal.
12. The integrated circuit chip according to claim 11, wherein the FDNR device is constructed as a GIC device.
13. The integrated circuit chip according to claim 12, including:
a second GIC device to add poles to the transfer function; and
an isolation device between the GIC and the second GIC.
14. Baseband circuitry, comprising:
an input line for receiving a filtered baseband signal;
control circuitry configured to operate on the filtered baseband signal, wherein the filtered baseband signal is generated according to the steps of:
providing an unfiltered baseband signal having unwanted frequency components and a DC offset;
filtering the unwanted frequency components using an FDNR device that cooperates with a capacitor to define poles in a filter transfer function; and
blocking the DC offset using a capacitor.
15. The baseband circuitry according to claim 14, wherein generating the filtered baseband signal includes using a resistor to define a zero in the filter transfer function; and the baseband circuitry is constructed to account for nonlinearity introduced by the zero.
16. A low noise filter module for filtering a downconverted signal, comprising:
a signal path extending from an input line to an output line;
a load capacitor on the signal path;
a first filter stage coupled to the signal path and including a first FDNR device;
a second filter stage coupled to the signal path and including a second FDNR device;
bias circuitry coupled to the output of the load capacitor; and
wherein the bias circuitry cooperates with the load capacitor to block or cancel a DC offset in the downconverted signal, and at least one of the first and second filter stages cooperates with the load capacitor to define poles in a filter transfer function.
17. The low noise filter module according to claim 16, wherein the first filter stage cooperates with the load capacitor to implement a desired filter transfer function for the low noise filter.
18. The low noise filter module according to claim 16, wherein the load capacitor is constructed to block the DC offset and to define a transfer function.
19. The low noise filter module according to claim 16, wherein the first FDNR device defines a first set of poles in a transfer function and the second FDNR device defines a second set of poles in the transfer function.
20. The low noise filter module according to claim 16, further including a resistor coupled to one of the FDNR devices that defines a zero in a transfer function for the low noise filter.
21. The low noise filter module according to claim 16, further including an isolation device positioned between the first filter stage and the second filter stage.
22. The low noise filter module according to claim 21 wherein the isolation device is constructed as an isolation amplifier.