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Topics covered in the attached notes and presentations are:
UNIT I SIGNALS AND SYSTEMS
Basic elements of digital signal Processing –Concept of frequency in continuous time and discrete time signals –Sampling theorem –Discrete time signals. Discrete time systems –Analysis of Linear time invariant systems –Z transform –Convolution and correlation.
UNIT II FAST FOURIER TRANSFORMS
Introduction to DFT – Efficient computation of DFT Properties of DFT – FFT algorithms – Radix-2 and Radix-4 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms – Use of FFT algorithms in Linear Filtering and correlation.
UNIT III IIR FILTER DESIGN
Structure of IIR – System Design of Discrete time IIR filter from continuous time filter – IIR filter design by Impulse Invariance. Bilinear transformation – Approximation derivatives – Design of IIR filter in the Frequency domain.
UNIT IV FIR FILTER DESIGN
Symmetric & Antisymteric FIR filters – Linear phase filter – Windowing technique – Rectangular, Kaiser windows – Frequency sampling techniques – Structure for FIR systems.
UNIT V FINITE WORD LENGTH EFFECTS
Quantization noise – derivation for quantization noise power – Fixed point and binary floating point number representation – comparison – over flow error – truncation error – co-efficient quantization error - limit cycle oscillation – signal scaling – analytical model of sample and hold operations – Application of DSP – Model of Speech Wave Form – Vocoder.
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IIR digital filter structuresFilter design
Last edited by Manoj; 24th April 2011 at 04:41 PM.
FaaDoO Moderator!
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Hello sir ! Will you please help me to find out the pdf file for dsp by the author ramesh babu ?
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well done, good work Manoj.
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Really helped me a lot your Digital Signal Processing Ebooks..
I was not getting any books to prepare for ma exams and urs Digital Signal Processing Ebooks helped me
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Abstract : Digital signal processing (DSP) is concerned with the digital representation of signals and the use of digital processors to analyse, modify, or extract information from signals.
Many signals in DSP are derived from analogue signals which have been sampled at regular intervals and converted into digital form.
The key advantages of DSP over analogue processing are Guaranteed accuracy (determined by the number of bits used), Perfect reproducibility, No drift in performance due to temperature or age, Takes advantage of advances in semiconductor technology, Greater exibility (can be reprogrammed without modifying hardware), Superior performance (linear phase response possible, and_ltering algorithms can be made adaptive), Sometimes information may already be in digital form. There are however (still) some disadvantages, Speed and cost (DSP design and hardware may be expensive, especially with high bandwidth signals) Finite word length problems (limited number of bits may cause degradation).
Please find the following attachments"Digital Signal Processing Notes/pdf/ppt download" here.....
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thanks for this notes
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thank you for notes
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awesom notes than you very much
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gud note, thanks
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good job...i like the book collection
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tanx for this post
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i am new here.. can i get the link to download ramesh babu's DSP book
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thnksssssssssss
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thanx a lot