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Advanced Signal Processing & Analysis Tools


MALMIJAL provides a comprehensive set of signal processing and frequency-domain analysis tools — without requiring MATLAB scripting.

Modeling mode

Design visual signal processing pipelines using modular nodes and parameter control. Save, reload, and validate models with consistent analytical results.


Filtering  (MA / EMA / FIR / IIR)

Implement digital filtering techniques including Moving Average (MA), EMA, FIR, and IIR filters with adjustable order and cutoff frequency. Analyze filtering effects in both time and frequency domains.

FFT / STFT / PSD / FRF / Coherence

Perform frequency-domain analysis including FFT, STFT, PSD, FRF, and Coherence with adjustable window functions, overlap, and resolution settings — delivering results comparable to MATLAB.

Preprocessing  & Statistics

Preprocess signals with peak detection, detrending, resampling, normalization, and arithmetic operations. Perform correlation analysis and outlier detection for experimental validation.

Data Modification

Apply statistical analysis such as RMS, Min, Max, Mean, slope estimation, and signal segmentation directly on plotted data. Modify datasets interactively while preserving analytical consistency.

Multi-channel Modeling

Process single or multi-file datasets with multi-channel input/output modeling. Compare channels simultaneously and analyze system responses across multiple measurement points.


Key Features of MALMIJAL 


MALMIJAL provides advanced signal processing tools including FFT, STFT, FRF, and Coherence analysis, along with Modal Analysis (MA/EMA) and FIR/IIR digital filtering.

Designed for engineers and researchers, it delivers accurate frequency analysis, vibration testing, and real-time data processing for professional engineering applications.

PREPROCESS
Detrend

Detrend processing to remove DC offset and low-frequency drift, ensuring accurate signal analysis and reliable frequency-domain results. 

Resampling

Resampling to change signal sampling rates for accurate time-series analysis, signal alignment, and optimized digital signal processing. 

Polynomial Fit

Polynomial Fit analysis for trend modeling, curve fitting, and accurate data approximation in signal processing and engineering applications. 

Exponential Fit

Exponential Fit analysis for modeling growth and decay trends, curve fitting, and accurate signal data approximation in engineering and time-series analysis. 

Integration

Integration enables accurate signal accumulation, supporting displacement calculation and advanced time-domain and vibration analysis. 

Envelope Curve

Envelope Curve analysis for amplitude modulation detection, fault diagnosis, and advanced vibration signal analysis. 

Arithmetic Operations

Arithmetic Operations for signal addition, subtraction, multiplication, and scaling to enable flexible data processing and advanced signal analysis. 

Differentiation 

Differentiation for precise rate-of-change analysis, enabling velocity and acceleration calculation in signal and vibration analysis.


Peak Finding

Peak Finding enables automatic peak detection, resonance identification, and accurate frequency analysis in signal and vibration data. 


Convolution

Convolution enables advanced signal filtering, system response analysis, and accurate time-domain signal processing. 


RPM Extraction  

RPM Extraction enables accurate rotational speed detection and order tracking in vibration and rotating machinery analysis. 

STATISTICS
Descriptive Statistics

Descriptive Statistics provides comprehensive data analysis, including mean, RMS, variance, and standard deviation for signal and vibration measurements. 

IQR (Interquartile Range) 

IQR analysis enables robust outlier detection and statistical dispersion measurement in signal and data analysis.


Auto-Correlation 

Auto-Correlation analysis enables pattern detection, periodicity identification, and time-domain signal analysis. 


Z-score 

Z-score analysis enables statistical normalization, outlier detection, and standardized signal data evaluation.


Cross-Correlation

Cross-Correlation analysis enables signal similarity measurement, time delay estimation, and multi-channel signal comparison. 


PCA (Principal Component Analysis) 

PCA (Principal Component Analysis) enables dimensionality reduction, feature extraction, and advanced data pattern analysis in signal processing.

FILTERING
MA (Moving Average) 

MA filtering enables signal smoothing, noise reduction, and improved time-series data analysis.

EMA (Exponential Moving Average) 

EMA filtering enables responsive signal smoothing, noise reduction, and real-time trend analysis.

FIR (Finite Impulse Response) 

FIR filtering enables stable digital signal processing, precise frequency control, and noise reduction.

IIR (Infinite Impulse Response) 

IIR filtering enables efficient real-time digital signal processing with optimized frequency response control and low computational overhead.

SPECTRA
FFT (Fast Fourier Transform) 

FFT enables fast and accurate frequency-domain analysis, spectrum measurement, and vibration signal processing.


STFT (Short-Time Fourier Transform) 

STFT enables time-frequency analysis, spectrogram generation, and dynamic signal evaluation in acoustic and vibration applications.

Power Spectrum 

Power Spectrum analysis enables frequency-domain signal evaluation, energy distribution measurement, and vibration and acoustic analysis.  

Cross Spectrum 

Cross Spectrum analysis enables frequency-domain relationship measurement, coherence evaluation, and multi-channel vibration and acoustic analysis. 

PSD (Power Spectral Density) 

PSD analysis enables precise frequency-domain power measurement, noise analysis, and vibration signal evaluation.


CSD (Cross Spectral Density) 

CSD analysis enables multi-channel frequency-domain measurement, signal correlation evaluation, and advanced vibration and acoustic analysis.

FRF (Frequency Response Function)  

FRF analysis enables system response measurement, structural dynamics evaluation, and vibration testing.


Coherence 

Coherence analysis enables measuring signal correlation, assessing data reliability, and performing accurate frequency-domain evaluation in vibration and acoustic analysis.

Octave Band Analysis  

Octave Band Analysis enables standardized frequency band evaluation, noise measurement, and acoustic signal analysis. 


Order Spectrum 

Order Spectrum analysis enables rotational speed–based frequency evaluation, order tracking, and rotating machinery vibration diagnostics.

No-Code Signal Processing Workflow


From raw data to validated frequency-domain results — without writing MATLAB scripts.
MALMIJAL provides a structured, model-based signal processing workflow with analytical accuracy.

1. Generate or Import Signal Data

Generate test signals (sine, impulse, chirp) or import multi-channel time-series data (CSV, TXT, WAV). Prepare data for FFT, filtering, and spectral analysis.


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2. Build a Model

Create a visual signal processing model by connecting inputs, outputs, and processing nodes. Configure preprocessing, filtering, and spectral analysis parameters with precision control.

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3. Analyze Results

Perform advanced frequency-domain analysis including FFT, PSD, STFT, FRF, Coherence, Octave Band, and Order Analysis. Compare channels, validate experimental data, and export publication-ready plots.

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