MALMIJAL-Modeling is a data analysis platform that goes beyond drag-and-drop with flexible modeling. It supports multiple inputs and outputs, providing preprocessing, statistics, filtering, and spectrum analysis. With included model files, complex workflows can be easily designed and reused.

<p class="bb_paragraph" ><strong>MALMIJAL-Modeling</strong> is a versatile platform for analyzing and visualizing data through both drag-and-drop and modeling approaches.<br>It supports preprocessing, statistical analysis, filtering, and spectrum analysis, all performed through an intuitive workflow.<br>Results can be visualized as graphs or exported to files, and the software also includes the full feature set of <strong>MALMIJAL-Basic</strong>, allowing you to switch between modes with a simple toggle.</p><p class="bb_paragraph" ></p><h2 class="bb_tag" >🔹 Preprocessing</h2><ul class="bb_ul"><li><p class="bb_paragraph" >Trend removal, resampling, curve fitting, arithmetic operations</p></li><li><p class="bb_paragraph" >Differentiation, integration, peak detection, convolution, envelope analysis</p><p class="bb_paragraph" ></p></li></ul><h2 class="bb_tag" >🔹 Statistical Analysis</h2><ul class="bb_ul"><li><p class="bb_paragraph" >Descriptive statistics including maximum, minimum, median, standard deviation, variance, RMS, skewness, and kurtosis</p></li><li><p class="bb_paragraph" >Autocorrelation and cross-correlation (using two input signals in modeling mode)</p><p class="bb_paragraph" ></p></li></ul><h2 class="bb_tag" >🔹 Filtering</h2><ul class="bb_ul"><li><p class="bb_paragraph" >Moving average, exponential moving average, FIR, and IIR filters</p></li><li><p class="bb_paragraph" >IIR filters include Butterworth, Chebyshev I, Chebyshev II, and Elliptic</p></li><li><p class="bb_paragraph" >Filter types: low-pass, high-pass, band-pass, and band-stop</p></li><li><p class="bb_paragraph" >Image filtering also supported</p><p class="bb_paragraph" ></p></li></ul><h2 class="bb_tag" >🔹 Spectrum Analysis</h2><ul class="bb_ul"><li><p class="bb_paragraph" >FFT, PSD, CSD, power spectrum, cross power spectrum</p></li><li><p class="bb_paragraph" >Frequency response functions and coherence</p></li><li><p class="bb_paragraph" >Modeling mode enables two-input data processing</p></li><li><p class="bb_paragraph" >Supports overlap handling and multiple windowing methods</p></li><li><p class="bb_paragraph" >Additional features: Short-Time Fourier Transform, 1-octave and 1/3-octave band analysis</p><p class="bb_paragraph" ></p></li></ul><h2 class="bb_tag" >🔹 Data I/O and Visualization</h2><ul class="bb_ul"><li><p class="bb_paragraph" >Supported formats: MATLAB binary (<i>.mat), Excel (</i>.xlsx), audio files (*.wav, *.flac, *.mp3, etc.), and text files</p></li><li><p class="bb_paragraph" >Graphs: automatically rendered as bar, pie, or line charts depending on data type, with options for conversion</p></li><li><p class="bb_paragraph" >Customization: marker shape and size, line style, color, thickness, and interactive data cursors</p></li><li><p class="bb_paragraph" >In modeling mode, visualization settings can be saved to a model file (*.mmj) for reuse</p><p class="bb_paragraph" ></p></li></ul><h2 class="bb_tag" >🔹 Example Use Case</h2><p class="bb_paragraph" >Record a whistling sound with background noise, apply filtering to remove the noise, then analyze the frequency spectrum and play back the cleaned signal.<br>With MALMIJAL, these processes can be executed quickly without programming knowledge, making it accessible even to non-experts.<br>Teams can discuss which filter to use, set parameters, and immediately run the analysis. Results can be exported as graphs or text files for reporting and further study.</p><p class="bb_paragraph" ></p><h2 class="bb_tag" >🔹 Modeling Features</h2><ul class="bb_ul"><li><p class="bb_paragraph" >Includes dozens of example model files (*.mmj)</p></li><li><p class="bb_paragraph" >Loading a model file executes processes sequentially, similar to a macro</p></li><li><p class="bb_paragraph" >Users can simply replace input data or adjust parameters to quickly perform new analyses with the same workflow</p></li></ul>

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MALMIJAL - Modeling Achievements