DSP (Digital Signal Processing)

Digital Signal Processing is a very challenging field. Digital signal processing (DSP) is concerned with digital representation of signals and use of digital hardware to analyze, modify or extract information from these signals. DSP includes audio and speech signal processing, digital image processing, statistical signal processing, signal processing for communications, control of systems, biomedical signal processing, seismic data processing, etc. There are many advantages in using digital techniques for signal processing rather than traditional analog devices such as Flexibility ,Reproducibility,Reliability. Qualitat system promises effective ways to design,experiment and implement a variety of signal processing algorithms .

DSP Algorithm Implementation

Qualitat systems promises effective ways to design experiment and implement a variety of signal processing algorithms .

Signal Processing :	Performance analysis of multicarrier DS-CDMA systems
	Modified Selective mapping technique for PAPR reduction in OFDM
	Various PAPR reduction technique in OFDM systems

Image Processing :	Block Matching Algorithms for motion Estimation
	Edge Stegnography for Secure Communication
	An Evolutionary Algorithm for Fractal Coding of Binary Images using Genetic Algorithm
	JPEG2000 still image compression Using wavelets
	Adaptive bilateral filter for sharpness enhancement and noise removal
	Salt-and-pepper noise removal by median type noise detectors and detail-preserving regularization
	Feature Based wavelet shrinking algorithm for image denoising
	Image Fusion Based on Principal Component Analysis and High-Pass Filter

Speech Processing :	Mel Frequency Discrete Wavelet Coefficients(MFDWC) for Isolated Word Hindi Speech Recognition
	Recognizing speech by using Wavelet Transform and Neural Network
	Adaptive noise cancellation algorithm for speech processing

DSP Algorithm Implementation :

Qualitat systems promises effective ways to design experiment and implement a variety of signal processing algorithms .

Biometrics :	Face recognition using Principal component analysis and Log gabor filters
	Face recognition using correlational filters
	Fingerprint Verification Based on Fixed Length Square Finger Code
	Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling
	Iris recognition using Haar wavelet and Neural Networks
	Combining Face and Iris Biometrics for Identity Verification

Pattern Recognition :	Devnagri numeral recognition using Moment Invariant
	Devnagri letter recognition using Self Organizing Map
	Text detection ,Location and segmentation system for OCR in Images
	Automatic Number plate detection using Optical Character Recognition with Neural Network
	Image Texture classification using grey level co-occurrence and support vector machines.

Biomedical :	Wavelet based features for medical image analysis and classificaton
	BioMedical Signal Processing for ECG Analysis using wavelets and Pattern classification
	Segmentation of Soft Tissue Using Texture Features and Gradient Snakes
	Texture analysis for classification in MRI images using modified radon transform
	Detection of Tumor in MRI images using vector quantization segmentation.