Rapid advances in silicon technology and high demand of multimedia applications on wireless networks have spurred the research and development of computationally intensive signal processing and communication systems on FPGAs and Application Specific Integrated Circuits (ASICs).

These advancements also offer mystical solutions to historically intractable signal processing problems resulting in major new market opportunities and trends. Traditionally for signal processing specific applications off the shelf Digital Signal Processors (DSPs) ar ....etc

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want some miniprojects based on fir filters on matlab ....etc

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Abstract— Computational Private Information Retrieval (cPIR) protocols allow a client to retrieve one bit from a database, without the server inferring any information about the queried bit. These protocols are too costly in practice because they invoke complex arithmetic operations for every bit of the database. In this paper, we present pCloud, a distributed system that constitutes the first attempt toward practical cPIR. Our approach assumes a disk-based architecture that retrieves one page with a single query. Using a striping technique, ....etc

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sir,
I have an interest to do the project on de-noising concept by using tms320c6713.
please help me sir,
thanking you sir,
uday kumar ....etc

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a) Performance and Analysis of Multi carrier DS-CDMA Communication System.
b) Single Sideband modulation via HILBERT TRANSFORM
c) Analysis of frequency variations on a real time speech signal
d) speech processing using Kalman filter
e) Implementation of heart beat monitoring using DWT
f) Implementation and analysis of decision feedback equalizers
g) Implementation of QAM (quadrature amplitude modulation) using matlab
h) Implementation of CDMA using BPSK technique
i) Implementation of modulation techniques (AM, FM, PM).
j) Speech compre ....etc

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Definition
Digital Signal Processing is carried out by mathematical operations. Digital Signal Processors are microprocessors specifically designed to handle Digital Signal Processing tasks. These devices have seen tremendous growth in the last decade, finding use in everything from cellular telephones to advanced scientific instruments. In fact, hardware engineers use DSP to mean Digital Signal Processor, just as algorithm developers use DSP to mean Digital Signal Processing. DSP has become a key component in many consumer, communications ....etc

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i want a biomedical instrumentation topic for my project which is combined with dsp
....etc

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Definition
The best way to understand the requirements is to examine typical DSP algorithms and identify how their compositional requirements have influenced the architectures of DSP processor. Let us consider one of the most common processing tasks the finite impulse response filter.

For each tap of the filter a data sample is multiplied by a filter coefficient with result added to a running sum for all of the taps .Hence the main component of the FIR filter is dot product: multiply and add .These options are not unique to the FIR filter a ....etc

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i want THE BEST topics for dip/dsp mini project
4M SINDHU ....etc

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A. 3D Synthetic Environment.
B. A High Performance Implementation of MPEG-1 Layer 3 Audio Encode.
C. AC drive.
D. Acoustic Echo Cancellation algorithm 7 Implementation using DSP.
E. 5 Acoustic liquid level gauge.
F. Adaptive channel equalization.
G. Advanced LCR meter using DSP techniques.
H. Alu design using VHDL.
I. Audio signal processing.
J. Automatic collision avoider.
K. Binaural sound localization.
L. Biologically plausible pitch perception.
M. Biopmetric finger print system.
N. Biometric smart camera.
O. Cellular communica ....etc

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