1. (canceled)
2. A solid pharmaceutical composition comprising
a) choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide;
b) an alkalizing agent;
c) a precipitation inhibiting agent; and
d) an additional pharmaceutically acceptable carrier.
3. The composition according to claim 2, wherein the alkalizing agent is selected from magnesium oxide, calcium carbonate, calcium phosphate and combinations thereof.
4. The composition according to claim 2, wherein the alkalizing agent is magnesium oxide.
5. The composition according to claim 2, wherein the precipitation inhibiting agent is selected from polyvinylpyrrolidone and hydroxypropyl methyl cellulose.
6. The composition according to 2, wherein the precipitation inhibiting agent is polyvinylpyrrolidone.
7. The composition according to claim 6, wherein polyvinylpyrrolidone is selected from PVP K30, PVP K2932 and PVPP XL, in particular PVP K30.
8. The composition according to claim 3, wherein the amount of alkalizing agent is in the range from about 5% to about 30% by weight of the total weight of solid pharmaceutical composition.
9. The composition according to claim 8, wherein the amount of alkalizing agent is in the range from about 10% to about 20% by weight of the total weight of solid pharmaceutical composition.
10. The composition according to claim 2, wherein the amount of precipitation inhibiting agent is in the range from about 8% to about 20% by weight of the total weight of solid pharmaceutical composition.
11. The composition according to claim 2, wherein the additional pharmaceutically acceptable carrier is selected from disintegrants, diluents, lubricants, glidants and binders.
12. The composition according to claim 2, comprising
a) choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide;
b) magnesium oxide;
c) polyvinylpyrrolidone; and
d) a mixture of croscarmellose sodium and mannitol.
13. The composition according to claim 12 further comprising microcrystalline cellulose, magnesium stearate, colloidal silicon dioxide, or a mixture of these.
14. An oral dosage form comprising the composition according to claim 2, wherein the amount of the choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide is from about 5 to about 100 mg on a dry basis calculated as the free acid.
15. The oral dosage form according to claim 14 wherein the amount of the choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide is about 75 mg on a dry basis calculated as the free acid.
16. The oral dosage form according to claim 14 wherein the amount of the choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide is about 25 mg on a dry basis calculated as the free acid.
17. The oral dosage form according to claim 14 wherein the amount of the choline salt of 6-chloro-3-2-(1-ethyl-propylamino)-3,4-dioxo-cyclobut-1-enylamino-2-hydroxy-N-methoxy-N-methyl-benzenesulfonamide is about 5 mg on a dry basis calculated as the free acid.
18. The oral dosage form according to claim 14, wherein the dosage form is selected from a tablet, a capsule and a caplet.
19. The oral dosage form according to claim 18, wherein the dosage from is a hard capsule.
20-22. (canceled)
23. A method, to treat chronic obstructive pulmonary airways disease (COPD), chronic bronchitis or dyspnea associated with COPD, emphysema, bronchiolitis obliterans syndrome or severe asthma, comprising administering an effective amount of the compound according to claim 1, or the composition according to claim 2.
24. A method to treat chronic obstructive pulmonary airways disease (COPD), chronic bronchitis or dyspnea associated with COPD, emphysema, bronchiolitis obliterans syndrome or severe asthma, comprising administering to a person or mammal an effective amount of the oral dosage form according to claim 14.
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 method for signal processing performed by a wireless receiver, the method comprising:
receiving, combining and despreading Dedicated Physical Channel (DPCH) pilot symbols from a wireless signal;
generating a post-rotation quadrature component signal based on the despread DPCH pilot symbols and on a pilot sequence transmitted by a transmitter;
computing the power of said post-rotation quadrature signal to produce a noise power estimate;
extracting the Dedicated Physical Channel (DPCH) pilot symbols from said received signal and generating an in-phase (I) component and a quadrature (Q) component;
multiplying said generated I component by Q component of said transmitted pilot sequence to generate a first post rotation component; and
multiplying said generated Q component by I component of said transmitted pilot sequence to generate a second post rotation component.
2. The method of claim 1 wherein the step of combining may occur prior or posterior to the step of despreading and may comprise either equalizer combining across taps or Rake combining across fingers.
3. The method according to claim 1 further comprising:
subtracting said first post rotation component from said second post rotation component to generate said post-rotation quadrature signal.
4. The method according to claim 3, further comprising:
squaring said post-rotation quadrature signal;
summing squared post-rotation quadrature signal over the number of said (DPCH) pilot symbols per slot of said downlink channel; and
normalizing summed squared post-rotation quadrature signal to produce said noise power estimate.
5. The method according to claim 4 wherein said normalizing comprises dividing said summed squared post-rotation quadrature signal by the number of said (DPCH) pilot symbols per slot of said downlink channel.
6. A method for operating a wireless receiver to produce a noise power estimate from a received wireless signal received by the wireless receiver that has a Rake containing multiple fingers, said wireless signal is transmitted by a transmitter, the method comprising
receiving Dedicated Physical Channel (DPCH) pilot symbols; and
processing the DPCH pilot symbols to produce a noise power estimate based on the DPCH pilot symbols and on a pilot sequence transmitted by the transmitter;
wherein a processing mode is selected for individual fingers of the Rake for the DPCH pilot symbols based on a DPCH slot format associated with the DPCH pilot symbols and on the transmit diversity mode used at said transmitter.
7. The method of claim 6, wherein the processing mode is selected from a set of processing modes comprising:
Normal mode;
STTD decoding mode;
pair STTD decoding mode;
pair STTD decoding compressed mode; and
quartet STTD decoding compressed mode.
8. The method of claim 7, wherein said selected mode is selected per-finger and thereby may differ across multiple fingers.
9. The method of claim 6, wherein producing the noise power estimate includes:
generating a post-rotation quadrature component signal based on the DPCH pilot symbols and on said pilot sequence transmitted by said transmitter; and
computing the power of said post-rotation quadrature signal to produce said noise power estimate.
10. The method of claim 9, further comprising:
extracting the Dedicated Physical Channel (DPCH) pilot symbols from said received signal; and
generating an in-phase (I) component and a quadrature (Q) component.
11. The method according to claim 10, further comprising:
multiplying said generated I component by a Q component of said transmitted pilot sequence to generate a first post rotation component; and
multiplying said generated Q component by an I component of said transmitted pilot sequence to generate a second post rotation component.
12. The method according to claim 11 further comprising:
subtracting said first post rotation component from said second post rotation component to generate said post-rotation quadrature signal.
13. The method according to claim 12, further comprising:
squaring said post-rotation quadrature signal;
summing squared post-rotation quadrature signal over the number of said (DPCH) pilot symbols per slot of said downlink channel; and
normalizing summed squared post-rotation quadrature signal to produce said noise power estimate.
14. The method according to claim 13 wherein said normalizing comprises dividing said summed squared post-rotation quadrature signal by the number of said (DPCH) pilot symbols per slot of said downlink channel.
15. A WCDMA receiver comprising:
a radio frequency (RF) front end operable to convert a received RF signal to a baseband signal, said RF signal is received from a transmitter;
a baseband receiver block coupled to the RF front end operable to receive the baseband signal; and
a DPCCHF-DPCH Processing block have a rake structure, the DPCCHF-DPCH Processing block operable to produce a noise power estimate using partitioned hardware and firmware processing modules, wherein DPCH pilot symbols are processed to produce the noise power estimate based on the DPCH pilot symbols and on a pilot sequence transmitted by said transmitter;
wherein an SNR estimate is based on noise power estimation computed by:
multiplying said generated I component by Q component of said transmitted pilot sequence to generate a first post rotation component; and
multiplying said generated Q component by I component of said transmitted pilot sequence to generate a second post rotation component;
subtracting said first post rotation component from said second post rotation component to generate said post-rotation quadrature signal;
squaring said post-rotation quadrature signal;
summing squared post-rotation quadrature signal over the number of said (DPCH) pilot symbols per slot of said downlink channel; and
normalizing summed squared post-rotation quadrature signal to produce said noise power estimate.
16. The WCDMA receiver of claim 15, wherein the partitioned hardware and firmware processing modules produce the noise power estimate based on an in-phase (I) component and a quadrature (Q) component.