Effect unit based on dynamic circuit modeling method that can change effect wirelessly

Abstract

An effect unit based on dynamic circuit modeling method that can change effect wirelessly, comprises a sound effect algorithm database, a mobile APP client and a sound effect device. The mobile APP client checks updates of the sound effect algorithm database, downloads new sound effect algorithms to the local device and displays the same in the form of a list, and the sound effect algorithms are downloaded to the sound effect device in a wireless communication mode by opening the wireless communication function of the mobile APP client; analog signals sent by an electrophone are converted into digital signals by ADC, the digital signals are processed by a DSP sound effect algorithm in the sound effect device, then the digital signals are converted into analog signals by DAC, and the analog signals are output by sound effect output equipment.

Claims

1. An effect unit based on dynamic circuit modeling method that can change effect wirelessly, comprising: a database comprising sound effect algorithms; a mobile application (APP) client; a sound effect device comprising a Digital Signal Processor (DSP); wherein the mobile APP client checks updates of the sound effect algorithms in the database, downloads new sound effect algorithms to the sound effect device and displays the sound effect algorithms in the form of a list; wherein the mobile APP client downloads the sound effect algorithms to the sound effect device in a wireless communication mode by opening a wireless communication function of the mobile APP client; wherein analog signals sent by an electrophone are converted into digital signals by an Analog to Digital Converter (ADC), the digital signals are then processed by the Digital Signal Processor (DSP) with the sound effect algorithms in the sound effect device thereby generating processed digital signals, and then the processed digital signals are converted into processed analog signals by a Digital to Analog Converter (DAC), and the processed analog signals are output by sound effect output equipment; and wherein the sound effect algorithms comprise a linear processing algorithm and a nonlinear processing algorithm; wherein a recursive training method is adopted in the linear algorithm to establish a model for supplementing a linear main body; wherein a fuzzy intelligent learning method is adopted in the nonlinear algorithm to obtain an optimal solution, system parameters are learned recursively based on a fixed model, and parameters closest to the original model are finally obtained.

2. The effect unit based on dynamic circuit modeling method that can change effect wirelessly according to claim 1, wherein the sound effect algorithms further comprise distortion, overdrive, compression, delay, modulation, reverberation and amplifier simulation algorithms.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) In order to illustrate the technical solution in the embodiments of the present invention more clearly, a simple introduction will be made below to the drawings required in the embodiments of the present invention. Apparently, the drawings described below are some embodiments of the present invention only, based on which other drawings could be obtained by those of ordinary skill in the art without any creative effort.

(2) FIG. 1 shows a nonlinear transfer function when an operational amplifier circuit is changed in the present invention;

(3) FIG. 2 is an equivalent circuit diagram of a capacitor in dynamic modeling;

(4) FIG. 3 shows a construction idea of a nonlinear dominant model;

(5) FIG. 4 shows a modeling principle of a linear dominant model; and

(6) FIG. 5 is a block diagram of a principle structure of an effect unit based on dynamic circuit modeling method that can change effect wirelessly in the present invention.

DETAILED DESCRIPTION OF THE INVENTION

(7) In order to conveniently understand the present invention, a more comprehensive and detailed description will be made to the present invention in combination with a preferred embodiment, but the protection scope of the present invention is not limited to the specific embodiment below.

(8) It should be specially noted that when one element is described as being fixed, fixedly connected, connected or communicated to the other element, it can be fixed, fixedly connected, connected or communicated to the other element directly or indirectly via other medium connector.

(9) Unless otherwise defined, all technical terms used below have the same meanings as generally understood by those skilled in the art. The technical terms used in the present invention are merely used for describing the specific embodiment, rather than limiting the protection scope of the present invention.

Embodiment

(10) FIG. 5 shows an effect unit based on dynamic circuit modeling method that can change effect wirelessly, including a sound effect algorithm database, a mobile APP client, a sound effect device, an electrophone and sound effect output equipment; the mobile APP client checks updates of the sound effect algorithm database, downloads new sound effect algorithms to the local and displays the same in the form of a list; the Bluetooth of the mobile APP client is opened and automatically paired with the sound effect device within an effective distance, and the sound effect algorithms are downloaded to the sound effect device in a wireless communication mode after successful pairing; analog signals sent by the electrophone are converted into digital signals by ADC, the digital signals are processed by a DSP sound effect algorithm in the sound effect device, then the digital signals are converted into analog signals by DAC, and the analog signals are output by the sound effect output equipment.

(11) In this embodiment, the sound effect simulation algorithms include distortion, overdrive, compression, delay, modulation, reverberation and amplifier simulation algorithms. In this embodiment, the sound effect algorithms include a linear processing algorithm and a nonlinear processing algorithm; a recursive training method is adopted in the linear algorithm to establish a model for supplementing a linear main body; a fuzzy intelligent learning method is adopted in the nonlinear algorithm to obtain an optimal solution, system parameters are learned recursively based on a fixed model, and parameters closest to the original model are finally obtained.

(12) This embodiment has the advantages that: 1) classical sound effect devices or sound effect devices not in production can be reproduced; 2) practical use of users is convenient, and multiple sound effect devices are not needed, so that the playing site is simple; 3) the cost for purchasing sound effect devices is reduced for users, so that they can obtain more sound effects at a lower cost; and 4) because the algorithms stored in the sound effect algorithm database are continuously increased, a user can switch the algorithms at any time via an APP to change the sound effect device into the one with different single sound effects or a combined sound effect, without separately purchasing one sound effect device for various sound effects.

(13) Several embodiments of the present invention have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the invention. Accordingly, other embodiments are within the scope of the following claims.