关键技术 Resources

Showing items tagged with "关键技术"

Application Context: Dynamic programming is an optimization method for solving multi-stage decision-making processes, initially proposed by American mathematician R. Bellman in the early 1950s. This methodology established a new branch of operations research by successfully addressing practical challenges in production management and resource allocation. Key Technology: As a crucial decision-making tool in modern enterprise management, dynamic programming effectively solves problems including optimal path finding, resource allocation, production planning, inventory control, and investment optimization. Its unique problem-solving approach often outperforms linear programming for specific optimization scenarios.

MATLAB 356 views Tagged
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Application Background: In mathematics, physics, and engineering, spatial frequency characterizes periodic structures in space. It measures sinusoidal components per unit repetition (determined via Fourier transform), with units in cycles per meter. For image processing applications, spatial frequency is typically expressed in cycles per millimeter or line pairs per millimeter. Key Technology: Spatial frequency theory explains how visual cortex neurons encode spatial frequencies rather than simple edge detection. Experimental evidence shows stronger neuronal responses to sinusoidal gratings at specific orientations compared to edges or bars. This MATLAB implementation demonstrates spatial frequency analysis through Fourier transformation and grating response simulations.

MATLAB 222 views Tagged
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Application Context: Extends MATLAB's 2D polar plotting capabilities to 3D polar coordinate visualization, providing enhanced graphical representation options. This plotting program offers various parameter selections to accommodate diverse visualization requirements. Key Technology: MATLAB plotting program implementing 3D polar coordinate graphs with customizable parameters and efficient data rendering.

MATLAB 223 views Tagged
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Application Context: This algorithm is derived from fixed-point recursive methodology and is applicable to any data type. Its development enables ICA analysis of high-dimensional data. Also known as the Fixed-Point algorithm, it was proposed by Hyvärinen et al. from University of Helsinki. FastICA employs batch processing where substantial sample data participates in each iteration, making it a rapid optimization iterative algorithm. While distinct from conventional neural networks, it can still be categorized as a neural network algorithm from distributed parallel processing perspective. FastICA exists in multiple forms including fourth-order cumulant-based, maximum likelihood-based, and maximum negentropy-based implementations.

MATLAB 247 views Tagged
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Application Context: Inertial navigation uses inertial components (accelerometers) to measure the acceleration of a vehicle, then calculates velocity and position through integration and computation to achieve navigation and positioning. The components of an inertial navigation system are installed within the vehicle, operating without reliance on external information or energy radiation, making it resistant to interference and an autonomous navigation system. Key Technologies: Designed to understand fundamental principles of inertial navigation and perform simulations. Features efficient and practical code implementation with clear structure and comprehensive annotations. The simulation includes numerical integration algorithms (like Euler or Runge-Kutta methods) for motion trajectory calculation and coordinate transformation modules for navigation frame conversions.

MATLAB 223 views Tagged
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Development Background Tabu Search (TS), first proposed by Glover in 1986, extends local neighborhood search as a global stepwise optimization algorithm that simulates human intellectual processes. Key Technology The TS algorithm employs a flexible memory structure and corresponding tabu criteria to avoid cyclical searches, while incorporating aspiration criteria to override tabu restrictions for promising solutions. This ensures diversified exploration and ultimately achieves global optimization. Compared to simulated annealing and genetic algorithms, TS represents another meta-heuristic approach with distinct search characteristics. To date, TS has achieved significant success in combinatorial optimization, production scheduling, machine learning, circuit design and neural networks.

MATLAB 235 views Tagged
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Application Background Wireless Sensor Networks (WSN) have broad application prospects in military fields like battlefield environment sensing and target tracking. Deploying sensor networks in enemy territory enables safe acquisition of precise intelligence. In civilian domains, WSN is extensively used for ecological monitoring, healthcare, space exploration, intelligent traffic control, smart agriculture, and has penetrated various aspects of human life. Key Technology Target localization and tracking represent one of WSN's quintessential applications. This MATLAB-based TDOA code provides a comprehensive implementation considering various scenarios and outcomes. The simulation includes signal propagation modeling, time-difference calculations using cross-correlation techniques, and hyperbolic positioning algorithms with least-square optimization for accurate coordinate estimation.

MATLAB 483 views Tagged
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