Schedule for this course

This course provides an introduction to Digital Signal Processing. Both engineers and experienced technicians will receive an overview of the basic concepts of Digital Signal Processing. The course is presented with minimal mathematics and emphasis on intuitive understanding and real world implementations. Basic concepts such as DFT, FFT, IIR, FIR, Matched Filters and Filter Parameters will be covered.
 

Introduction What is DSP? Why use DSP? Digitizing analog signals ADC resolution and noise Sampling theory DACs Fundamentals Discrete time signals Linear systems Impulse Response Convolution Correlation Complex numbers Review Laplace and Z transforms Number Representation Representation of numbers     in computers Fixed Point Floating point Multi-precision math Fixed point vs. Floating point Hardware of DSP vs.    microprocessors Programming examples

Fourier Analysis Why use Fourier Series & Transforms, DFT, FFT, IDFT Frequency resolution Windows Digital Filters Time domain and Frequency Domain    parameters FIR filters FIR implementations IIR filters Analog to Digital IIR filters transformations Advantages/Disadvantages of FIR and     IIR filters Conclusion

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