AFD - Advanced Filter Design using MATLABMiroslav D. Lutovac, Dejan V. Tosicversion 1.00 released 15 October 1999This program is freeware.Unpack with path names, for exampleDOS: pkunzip -d afdunix: unzip -L afdAfter unpacking afd.zip, and run MATLAB,change directory to afdfrom the MATLAB command window.Execute demoafd to quickly scan the AFD operation.
This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
This firmware translates a PS/2 mouse to a USB mouse. The translator
firmware is entirely interrupt driven (with the exception of sending the
data via USB to the host.) An interrupt is generated when the PS/2 start
bit is received, at which time the firmware will begin its receive routine.
In addition to this interrupt, every 168ms a timer overflow interrupts the
main program and implements one state of the mouse state machine. This
state machine handles sending bytes to and translating bytes received from
the PS/2 mouse automatically. All of this is done in the background while
the main program runs in the foreground. The only operation that the main
program implements is sending mouse data to the PC via USB.
This m file models a DPSK UWB system using a delay in one leg of the mixer, correlation receiver low pass filter combination requiring no template for synching. Various waveforms are displayed throughout the system to allow the user to observe operation of the system.
The HD66773, controller driver LSI, displays 132RGB-by-176 dot graphics on TFT displays in 260,000
colors. The HD66773’s bit-operation functions, 18-bit high-speed bus interface, and high-speed RAMwrite
functions enable efficient data transfer and high-speed rewriting of data to the graphic RAM.
Included are the files wav1.m, wav2.m, wavecoef.mat and readme.
wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
