Dynamic Multi-Channel PCA Input Mode: Test Signals (Multipath) Upload Multiple CSV Files Synthetic Paths: 3 + Add CSV or Audio PCA Filter Rank: 1 Run Analysis Understanding Test Signals & Synthetic Benchmarking In signal processing, Test Signals are mathematically defined waveforms used to characterize, calibrate, and validate the performance of an algorithm (like PCA) before applying it to real-world data. 1. Periodic (Deterministic) Sine waves represent ideal physical phenomena. They allow students to see if an algorithm preserves frequency and phase accuracy. 2....

  Cross-Spectrum Analysis Compare relationships between two independent signals Input Source: Test Signals (Sine Waves) 2 Separate CSV Files Audio (Stereo L/R) Freq (Hz): Phase Shift (°): Signal X (Ref): Signal Y (Target): Upload Audio: Fs (Hz): Analyze Mathematical Summary: In-Phase Signals When the input signals x(t) and y(t) share the sa...

Advanced Signal Filters Upload CSV (1st Col) or Audio (WAV, MP3, etc.) Generate Messy Signal (20Hz + 50Hz + 150Hz) Filter Type: Signal Cleaner Low-Pass Filter High-Pass Filter Band-Pass Filter Notch Filter Cutoff Freq (Hz): Q Factor: Sample Rate (fs): Download Filtered Signal Values (CSV) Note: If the cutoff frequency is 50 Hz: Low-Pass Filter (LPF): Passes all frequencies from 0 Hz up to 50 Hz. High-Pass Filter (HPF): Passes all frequenc...

Chirp Signal Simulator Chirp Signal Simulator fs: Start Freq: End Freq: Up Chirp Down Chirp Decode (Spectrogram approx) MATLAB Code Reference fs = 1000; t = 0:1/fs:1; f_start = 50; f_end = 200; up_chirp = chirp(t, f_start, 1, f_end, 'linear'); plot(up_chirp)

Signal Analyzer Upload CSV, .wav, or .mp4 Use Test Signal CSV Sample Rate (Hz): Generate CSV No Operation FFT (Spectrum) Amplitude Modulation (AM) Double Sideband Supressed Carrier (DSBSC) Pulse Amplitude Modulation (PAM) Flat Top PAM Filters - LPF, HPF, BPF, Notch Principal Component Analysis (PCA) ...

Signal Analyzer Upload CSV, .wav, or .mp4 Use Test Signal CSV Sample Rate (Hz): Generate CSV No Operation FFT (Spectrum) Amplitude Modulation (AM) Double Sideband Supressed Carrier (DSBSC) Pulse Amplitude Modulation (PAM) Flat Top PAM Filters - LPF, HPF, BPF, Notch Principal Component Analysis (PCA) ...

Load Forecasting Load forecasting is the process of predicting how much electricity (power demand) will be needed in the future, ranging from minutes to years. Electric utilities use it to ensure they generate the right amount of electricity—neither too much nor too little. Why It’s Important Power generation planning Grid stability (avoiding blackouts) Cost optimization Integration of renewable energy Types of Load Forecasting 1. Short-Term (minutes to days) Real-time grid operation Scheduling power plants 2. Medium-Term (weeks to months) Maintenance planning Fuel purchasing 3. Long-Term (years) Infrastructure planning Building new power plants...

Smart Grid Introduction A smart grid is an advanced electrical power system that uses digital communication, sensors, and intelligent control technologies to efficiently manage the generation, transmission, distribution, and consumption of electricity. It enhances the reliability, efficiency, and sustainability of traditional power systems by enabling real-time monitoring and decision-making. Key Features Two-way communication between utilities and consumers Real-time monitoring and control Integration of renewable energy sources Automated fault detection and self-healing capability Advanced metering infrastructure (AMI) Components of Smart Grid Smart Meters: Provide real-time energy usage data Sensors and Io...