Data Acquisition & Processing, Signal & Image Processing

We use software tools such as MATLAB, FLEXPRO, InDesign...

Data Acquisition & Processing, Signal & Image Processing

Data acquisition (DAQ) is the process of measuring a physical or electrical parameter such as voltage, current, temperature, pressure, sound or humidity using a computer. DAQ systems consist of sensors, DAQ measurement hardware, signal conditioning circuitry, analog-to-digital converters, and some kind of a computer with programmable software. There are cases in which data isn’t readily available or complementary data is required. Depending on the situation, sometimes mere sampling might be enough or an automated data acquisition system may be required. Our engineers will assess your case and define the type and complexity of sampling activities; and accordingly design & develop any data acquisition systems that could be needed to retrieve data from systems or processes. For data acquisition applications we usually deploy software programs developed by major suppliers such as National Instruments (NI) developed using general purpose programming languages such as Assembly BASICCC++C#FortranJavaLabVIEWPascal, etc.  as well as stand-alone data acquisition systems called data loggers. Depending on client needs, our engineers modify or custom develop data acquisition programs. Collected data is in most cases not ready for use. It must be inspected, filtered, transformed, validated and then used. Once ready, we can work from simple tasks such as sorting, summarizing, classifying and reporting; to complex analysis using statistics, data mining, descriptive and predictive modeling, visualization, among others. Depending on the project, we assign subject expert engineers and mathematicians to establish a custom tailored data acquisition and processing system for our clients. 

Signal processing is considered as an enabling technology that encompasses the fundamental theory, applications, algorithms, and implementations of processing or transferring information contained in many different physical, symbolic, or abstract formats broadly designated as signals. Some application fields of signal processing in engineering are audio and digital signal processing, image processing, speech signal processing & speech recognition & noise reduction & echo cancellation, video processing, waveform generations, demodulation, filtering, equalization in wireless communication, audio & video & image compression.


Our signal and image processing tools and techniques are:

  • Signals and Systems Analyses
    (Time & Frequency)

– Anti-Aliasing Methods in Time and Frequency Domains
– Basebanding and Subband Isolation
– Correlation and Covariance (Auto and Cross)

– Cepstrum Analysis and Homomorphic Deconvolution
– CW and Pulsed signals
– dB Power and Amplitude representations
– Deterministic and Random Signals
– Discrete and Continuous-Time Signals

– Linear & Non-linear Systems
– Eigenvalues & Eigenvectors
– Power Spectral Density (PSD) Methods
– Spectral Analysis
– Transfer Function Methods
– Transmultiplexed Systems
– Zero-Pole Analysis
– Additional Signals and Systems Analyses

  • Filter Design (FIR and IIR)

– All-Pass Phase Equalizers
– Cascaded Filters
– Coherent Filtering
– Comb, Notch Filters
– Digital and Analog FIR/IIR Filters
– Filter Discretization from Analog Filters (Bilinear, Impulse Invariance, etc.)
– Hilbert Transformers
– Least Squares Designs
– Low Pass / High Pass / Bandpass / Multi-Band Filters
– Matched Filtering
– Optimal Filtering Techniques
– Phase Preservation Methods
– Smoothing
– Windowing / Windowed-Sync Filters
– Additional Filter Design Techniques

  • Multirate DSP Systems

– Decimation, Interpolation, Resampling
– Gaussian and non-Gaussian Noise Thresholding
– Multistage and Multirate conversions
– Phase Shifters, Filter Banks
– Polyphase Filtering
– Transmultiplexers, Oversampling
– Additional Multirate Filter/System Designs

  • FFT Design and Architectures

– Chirp-Z Transforms
– Dyadic/Quartic Time-Sequential data sets
– FFT algorithm reconfiguration (DIF/DIT)
– High-Speed FFT/Convolution
– Multidimensional and Complex FFTs
– Overlap-Add/Save techniques
– Prime Factor, Split-Radix Transforms
– Quantization Effects handling
– Real-Time FFT algorithms
– Spectral Leakage Concerns
– Additional FFT Designs and Architectures

  • Joint Time/Frequency Analysis

– Cross-Ambiguity Functions (CAF)

–Wavelets Transforms, Sub-bands, Decomposition and Multiresolution

– Short-Time Fourier Transforms (STFT)
– Additional Joint Time/Frequency methods

  • Image Processing

– Bi-Harmonic Gridding
– Edge Detection
– Frame Grabbers
– Image Convolution
– Image Enhancement
– Median, Sobel, horizontal/vertical and customized Parks-McClellan Filtering
– Additional Image Processing Techniques

  • Other relevant tools and techniques

 

We perform mathematical calculations and simulations of client systems. Some specific software we use:

  • MATLAB Computation and Visualization Software

  • MATLAB Signal Processing Toolbox

  • MATLAB Spline Toolbox

  • MATLAB Higher Order Spectra Toolbox

  • MATLAB Phased Array System Toolbox

  • MATLAB Control Systems Toolbox

  • MATLAB Computer Vision System Toolbox

  • MATLAB SIMULINK Toolbox

  • MATLAB DSP BLOCKSET Toolbox

  • MATLAB Wavelets Toolbox (with Data/Image Compression and GUI capability)

  • MATLAB Symbolic Math Toolbox

  • FLEXPRO

  • InDesign

If you would like to explore our manufacturing capabilities along with our engineering capabilities, we recommend you to visit our custom manufacturing site http://www.agstech.net 

AGS-ENGINEERING

Fax: (505) 814-5778 (USA)

Physical Address: 6565 Americas Parkway NE, Suite 200, Albuquerque, NM 87110, USA

Mailing Address: PO Box 4457, Albuquerque, NM 87196 USA

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