A versatile digital signal processing training platform powered by the TMS320C6745 DSP, featuring onboard audio interfaces, LCD, keypad, and rich I/O for real-time signal analysis. Ideal for DSP algorithms, audio processing, communication experiments, and image processing fundamentals in advanced electronics labs.
The DSK features the TMS320C6745 DSP, a 375MHZ device delivering up to 3648 million instructions per second (MIPs) and 2736 MFLOPS.
This DSP Trainer is specifically designed in modular and user friendly format with many on board interface.
JTAG supported via USB.
TLV320AIC23B programmable stereo codec.
Two 3.5mm audio jacks for microphone and speaker.
Expansion port for plug-in modules.
Power supply: +5V, ±12V, GND.
8 DIP switches for inputs and 8 LED indications for output.
Provision for manual Reset.
4*4 LED matrixes.
White noise source of amplitude 0 ~ 5Vpp.
20*2 character LCD display.
7 segment displays.
RTC interface: I2C based RTC section.
Phone keypad: 0 to 9 digits and *, # characters.
Code composer studio for the TMS320C6745 is included.
To study the architecture of DSP chips – TMS 320c6X instructions
To verify linear and circular convolution
To design FIR(LP/HP/BP) filters using windowing technique
a) usingrectangular window
b) usingtriangular window
c) using kaiser window
To implement IIR ( HP/LP/BP ) using following window
a) Chebyshevfilter
b) Butterworthfilter
N-point FFT algorithm
N-point DFT and IDFT of given sequence
Frequency response of system which is given in transfer function and differential form
Power spectrum density
Generation of sine wave
DFT and IFFT using DIT and DIF methods
Auto-correlation, cross-correlation and its property
Sampling of sine signal
Amplitude modulation, frequency modulation and FSK modulation
FIR filter using Blackman and hamming window
Generation of square wave
Implementation of decimation, interpolation and I/D sampling rate converter
Impulse response of 1st and 2nd order system
Addition and removal of noise
Spectrogram of audio or sine signal
RTC displayed on LCD
Signal companding using µ-law
Generation of sinusoidal wave based on recursive differential equation
Generation of sinusoidal through filtering
To find the FFT of given signal
FIR filter using Fourier series expansion method
Image processing
Digital image fundamentals
Image enhancement
Image filtering
Imagere construction
Colorimage processing
Image compression
Image segmentation
Morphology image processing
